Optimization of hydrothermal gasification process through machine learning approach: Experimental conditions, product yield and pollution

Title
Optimization of hydrothermal gasification process through machine learning approach: Experimental conditions, product yield and pollution
Authors
Keywords
Hydrothermal gasification, Biomass, Machine learning, Optimization, Hydrogen, Pollution
Journal
Journal of Cleaner Production
Volume 306, Issue -, Pages 127302
Publisher
Elsevier BV
Online
2021-04-29
DOI
10.1016/j.jclepro.2021.127302

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More